Volume 34 Issue 11
Sep.  2022
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Jia Qinggang, Mao Pengcheng, Wang Wenyuan, et al. Preliminary study on scatter quantification method for flash Multi-MeV radiography[J]. High Power Laser and Particle Beams, 2022, 34: 116001. doi: 10.11884/HPLPB202234.210488
Citation: Jia Qinggang, Mao Pengcheng, Wang Wenyuan, et al. Preliminary study on scatter quantification method for flash Multi-MeV radiography[J]. High Power Laser and Particle Beams, 2022, 34: 116001. doi: 10.11884/HPLPB202234.210488

Preliminary study on scatter quantification method for flash Multi-MeV radiography

doi: 10.11884/HPLPB202234.210488
  • Received Date: 2021-11-12
  • Accepted Date: 2022-07-07
  • Rev Recd Date: 2022-06-04
  • Available Online: 2022-07-08
  • Publish Date: 2022-09-20
  • For multi-MeV X-ray flash radiography, the areal density of object can be obtained by the primary direct X-ray. Objects of flash radiography often have very high areal densities which greatly attenuate the intensity of direct X-rays emitted by the source. At this time, the direct penetration signal that can transmit the region of interest inside the object will be smaller than that of the scattered X-ray “noise”. If the captured image is reconstructed directly without scatter correction, it will affect the accuracy of reconstruction. The main method to reduce the scatter X-ray from a physical point of view is to use an anti-scatter grid, that is, an array-type collimation hole. However, the performance may be affected by the stability of the X-ray source spot, and the manufacture of such anti-scatter grid is very difficult. This paper proposes a new imaging method that does not rely on anti-scatter grid. This method only makes small improvements on the existing imaging layout, and can easily and self-consistently determine the amount of scattering for scattering correction. A Monte Carlo simulation is given to show the performance of scatter estimation, and the relative difference between the estimated intensity of scatter and the real value (provided by the simulation) for an object is less than 2% when a known object with less areal density is applied for calibration.
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